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Design cloud infrastructure visually and generate Terraform code for AWS.

Inject controlled failures into services and infrastructure to test reliability and recovery behavior.

Collect application logs, traces, and metrics, then explore the signals together in one hosted telemetry workspace.

Collect cloud workload telemetry and build monitors for Kubernetes and Linux environments.

Coordinate multi-cloud releases with trigger-driven deployment pipelines.

Run controlled chaos experiments and reliability checks against services before failures reach users.

Deploy a self-hosted OpenTelemetry stack for application, infrastructure, and AI-agent telemetry.

Advance application releases through configured deployment targets.

Mock HTTP dependencies, inspect traffic, and verify requests in integration tests.

Promote releases through environments and coordinate deployments beyond the build stage.

Place managed API proxies in front of backends to govern traffic, security, and developer access.

Launch isolated Linux or Windows containers in Azure without provisioning virtual machines.

Orchestrate infrastructure plans, approvals, and deployments across IaC tools.

Run containerized apps and jobs on serverless compute that can scale with HTTP traffic or events.

Collect continuous CPU and memory profiles, then compare code paths over time.

Trace AWS and serverless applications with transaction context and related troubleshooting signals.

Deploy applications to your own servers through a Ruby task workflow that coordinates remote commands over SSH.

Build repeatable machine images from configuration templates before handing artifacts to deployment systems.

Create a managed MongoDB deployment, connect with mongosh or a driver, and scale from a small shared tier.

Deploy supported application runtimes from Git or FTP while Clever Cloud operates the hosting layer.

Correlate service topology with traces, metrics, logs, profiles, and alerts in a self-hosted observability system.

A command-line security scanner for repositories, images, binaries, and Kubernetes targets.

Deploy managed web applications and APIs into a plan with configurable compute capacity.

AI-native cloud platform with compute, databases, storage, and inference on one stack.